{
  "schema_version": 1,
  "url_base": "resolve-relative-to-registry-origin",
  "instructions": "/agents/guide.md",
  "deliverables": "/registry/v1/deliverables.json",
  "distribution": "/registry/v1/mirrors.json",
  "skills": [
    {
      "id": "vllm-ascend-modelarts-deploy",
      "name": "大模型推理部署",
      "description": "把 vLLM Ascend 教程转化为 ModelArts 可交付目录，处理多节点、rank table 与 PD 分离。",
      "tags": [
        "vLLM",
        "ModelArts",
        "A2 / A3"
      ],
      "version": "1.2.1",
      "record": "/registry/v1/skills/vllm-ascend-modelarts-deploy/1.2.1.json",
      "versions": [
        {
          "version": "1.2.1",
          "record": "/registry/v1/skills/vllm-ascend-modelarts-deploy/1.2.1.json"
        }
      ]
    },
    {
      "id": "ascend-llm-training",
      "name": "大模型训练与微调",
      "description": "通过 LLaMA-Factory 或 ms-swift 组织训练作业，贯通离线数据、分布式启动与 LoRA 导出。",
      "tags": [
        "LoRA",
        "LLaMA-Factory",
        "ms-swift"
      ],
      "version": "0.2.1",
      "record": "/registry/v1/skills/ascend-llm-training/0.2.1.json",
      "versions": [
        {
          "version": "0.2.1",
          "record": "/registry/v1/skills/ascend-llm-training/0.2.1.json"
        }
      ]
    },
    {
      "id": "ascend-npu-image-build",
      "name": "昇腾镜像构建",
      "description": "面向训练与推理准备昇腾 NPU 镜像，处理架构、运行环境、ModelArts 适配与交付。",
      "tags": [
        "Docker",
        "CANN",
        "SWR"
      ],
      "version": "0.1.0",
      "record": "/registry/v1/skills/ascend-npu-image-build/0.1.0.json",
      "versions": [
        {
          "version": "0.1.0",
          "record": "/registry/v1/skills/ascend-npu-image-build/0.1.0.json"
        }
      ]
    },
    {
      "id": "ascend-cv-delivery",
      "name": "计算机视觉交付",
      "description": "串联 YOLO / RT-DETR 的数据、训练、ONNX 导出、ATC 转 OM 与 pyACL 服务交付。",
      "tags": [
        "YOLO",
        "ONNX / OM",
        "pyACL"
      ],
      "version": "0.1.0",
      "record": "/registry/v1/skills/ascend-cv-delivery/0.1.0.json",
      "versions": [
        {
          "version": "0.1.0",
          "record": "/registry/v1/skills/ascend-cv-delivery/0.1.0.json"
        }
      ]
    },
    {
      "id": "aishipbox-modelartsstudio-operator",
      "name": "数据算子与算法服务",
      "description": "使用 aishipbox CLI 选择 op / algo，从项目创建、本地运行和调试走到交付打包。",
      "tags": [
        "aishipbox",
        "op / algo",
        "Studio"
      ],
      "version": "1.1.1",
      "record": "/registry/v1/skills/aishipbox-modelartsstudio-operator/1.1.1.json",
      "versions": [
        {
          "version": "1.1.1",
          "record": "/registry/v1/skills/aishipbox-modelartsstudio-operator/1.1.1.json"
        }
      ]
    }
  ]
}